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Location: London Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped our collaborative mindset, which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors. You will work within a quantitative development function supporting research and trading activities across Commodities, including Agriculture, Metals and Energy. The role focuses on developing Python applications, quantitative tools and data infrastructure that support trading decisions, research and risk management. You will collaborate closely with Quantitative Researchers, Traders, Data Engineers and infrastructure specialists to deliver solutions across alternative data, pricing, backtesting and statistical modelling. Your future role within QRT Design, develop and deploy quantitative tools supporting trading and research, including pricing, backtesting, risk analysis and PnL reporting Build Python applications and data pipelines to explore, integrate and analyse alternative datasets, including weather and cargo data Collaborate with Quantitative Researchers and Traders to translate trading ideas and business requirements into production applications and quantitative models Architect, develop and maintain cloud applications in collaboration with infrastructure engineers, using AWS and related technologies Develop and apply statistical and machine learning models to support research and trading across Agriculture, Metals and Energy Implement quantitative optimisation methods and automate research and trading workflows Monitor, troubleshoot and enhance existing trading and research infrastructure to ensure reliability and performance Your present skillset Minimum 2 years of professional software development experience, with strong Python programming skills or proficiency in another object oriented language Strong understanding of software design principles and experience developing maintainable applications Proficiency with Python numerical and data analysis libraries such as NumPy, Pandas, Polars and Matplotlib Solid SQL skills and experience working with relational databases Experience developing data processing pipelines, ideally using orchestration frameworks such as Airflow Familiarity with AWS or similar cloud platforms and infrastructure as code practices Good understanding of software development practices, including Git, unit testing, packaging and scripting Experience using AI development tools to support coding, debugging and software delivery Strong quantitative and analytical skills, with an interest in financial markets and trading Ability to work autonomously, manage priorities and collaborate effectively with Researchers, Traders and Engineers Previous experience developing quantitative tools or models within Commodities trading is beneficial Experience building dashboards and data visualisation applications using Plotly, Streamlit, Dash or htmx is advantageous Advanced AWS experience, including services such as DynamoDB, RDS, S3, Lambda and AWS CDK, is beneficial Familiarity with Snowflake or similar data platforms is advantageous Experience with parallel or distributed computing frameworks such as Slurm and Ray is beneficial Experience developing statistical or machine learning models is advantageous Previous experience mentoring junior developers or interns is beneficial QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

Location: London QRT is a global quantitative and systematic investment manager, operating across all liquid asset classes. We are a data- and technology-driven organization applying scientific methods to investing. Our collaborative culture and focus on innovation enable us to solve complex challenges and deliver high-quality returns for our investors. The Business Data & Analytics (BDA) Team develops applications and business insights for senior stakeholders. Its data platform supports the team’s applications and analytical tools, alongside work in data science, analysis and applied AI. Your future role within QRT We are seeking a Data Engineer to help build and maintain the BDA data platform. You will work directly with business stakeholders, translating open-ended questions into reliable datasets, analyses and tools. The role is expected to involve the following activities: Design, build and operate data pipelines and datasets on AWS using services including S3, Lambda, Step Functions, Glue and Athena. Define infrastructure as code and deliver changes through CI/CD. Integrate internal and external data sources, validating data quality and reliability. Build reporting and BI views and communicate findings to non-technical stakeholders. Use agentic coding tools in day-to-day development and design data and systems that AI agents can use safely. Contribute to LLM-powered projects, including document extraction, natural-language data access and automated data quality. Share ownership of the team’s systems, documenting design decisions, assumptions and limitations. Your present skillset A degree in Computer Science, Engineering, Mathematics, Statistics or another relevant technical discipline. At least three years’ experience building and operating production data pipelines and datasets. Strong hands-on experience with AWS, including IAM. Strong Python and SQL skills, with the ability to write clean, structured and tested code. Experience with infrastructure as code and agentic coding tools, including reviewing and verifying their output. Strong analytical and problem-solving skills, intellectual curiosity and a consulting mindset. A proactive, organised and versatile approach, with enthusiasm for BI, analysis and data science alongside engineering. Comfortable working through problems where requirements are not fully defined. Desirable to have experience or a willingness to learn in the following areas Terraform. Dash, FastAPI or similar frameworks for dashboards, reporting and data applications. LLMs, including agents, tool use, retrieval or MCP. AI-friendly data architectures, including machine-readable data contracts, catalogues and metadata. Applying machine learning or statistical methods to business problems. Spark or PySpark. QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

Location: Mapbox UK Workplace: Remote Mapbox is the leading real-time location platform for a new generation of location-aware businesses. Mapbox is the only platform that equips organizations with the full set of tools to power the navigation of people, packages, and vehicles everywhere. More than 4 million registered developers have chosen Mapbox because of the platform’s flexibility, security and privacy compliance. Organizations use Mapbox applications, data, SDKs and APIs to create customized and immersive experiences that delight their customers.  The Maps API team builds and maintains the applications and infrastructure responsible for creating and distributing Mapbox maps https://www.mapbox.com/maps. Thousands of customers rely on our services to seamlessly handle billions of requests every day, scale in real-time to global events, and enable designers, developers, and analysts to make and share maps we’ve never dreamed of. Delivering maps means delivering a model of the world that’s changing all the time and needs to automatically support the world’s edge cases – writing systems, fonts, local regulations, and global boundary disputes. Our team maintains the highest-traffic read APIs at Mapbox and the distributed ETL pipelines used by internal and external customers to turn data into maps. We’re building new ways for people to visualize location data. Check out our Mapbox maps https://www.mapbox.com/maps! As AI becomes embedded in modern engineering workflows, we value engineers who can thoughtfully integrate AI into design, development, and decision-making. Our interview process will include discussion of how you use AI in your engineering workflow. WHAT YOU’LL DO As a Software Development Engineer III on the Maps API team, you will be responsible for balancing rapid development of new mapping tools against the reliability of our services as they scale into new request volumes, markets, and use cases. In a single week on the Maps API team, you might write application code robust to a world’s worth of data, build and deploy microservices, diagnose complex system behavior as global markets drive traffic in unexpected ways, or facilitate continuous delivery at Mapbox. In this role, you can expect to: - Lead your engineering team to identify and scope out well-defined tasks. - Execute on the scope and be accountable for delivering on time with quality. - Design systems and make architectural decisions that will keep pace with the rapid growth of Mapbox’s customer base. - Mentor your peers through 1:1s, facilitating design and code reviews, and providing continuous guidance to foster professional growth and technical excellence. - Promote a culture of operational excellence by meticulously testing and monitoring our systems and code, writing documentation, and being on-call to support the health of our services. - Reduce technical debt, share your knowledge, and invest in your teammates’ health and happiness, while optimizing application performance and accelerating feature velocity. - Uphold a culture of collaboration, transparency, creativity, inclusion, and data-driven decisions. WHAT WE BELIEVE ARE IMPORTANT TRAITS FOR THIS ROLE - 8-10+ years of experience building scalable high volume low latency backend services. - Proficiency with Python, NodeJS, and native AWS (CDK, ECS, Step Functions, Lambda, S3, RDS, CloudWatch, CloudFront). - Experience building mapping and geospatial related products. - Familiarity with code versioning tools, such as GitHub. - Able to perform independently all the development tasks, based on designs and specs. - Self-starter who is communication and outcomes-oriented. - An empirical analytical approach. You develop strong hypotheses, conduct spikes, and clearly communicate your findings. - A desire to share your expertise through documentation, mentorship, pairing, and both written and verbal discussion. - A desire to work with and lead individuals with diverse backgrounds, perspectives, and experiences. - High quality mindset -- write unit tests, proactively remedy defects and follow through to production. NICE TO HAVE TRAITS FOR THIS ROLE - Proficiency in C++ WHAT WE VALUE In addition to our core values https://www.mapbox.com/about/values/, which are not unique to this position and are necessary for Mapbox leaders: - We value high-performing creative individuals who dig into problems and opportunities. - We believe in individuals being their whole selves at work. We commit to this through supportive health care, parental leave, flexibility for the things that come up in life, and innovating on how we think about supporting our people. - We emphasize an environment of teaching and learning to equip employees with the tools needed to be successful in their function and the company. - We strongly believe in the value of growing a diverse team and encourage people of all backgrounds, genders, ethnicities, abilities, and sexual orientations to apply. HOW WE SUPPORT YOU - Hybrid/Remote Options: Enjoy flexibility to work comfortably from home or periodically from an office where applicable. - Country-Specific Care & Coverage: Private health, dental, and income protection plans tailored to elevate your regional statutory benefits. - Family-First Support: Family care, maternity and paternity leave policies to support your growing family. - Lifestyle Spending Account: Contributions to support your health, wellness, and personal growth - Balance & Brainpower: Mental health support for you and your dependents. - Rest & Recharge: Paid time away, company holidays, and generous absence policies. - Time Off to Give Back: Dedicated paid volunteering time in addition to your standard PTO. By applying for this position, you acknowledge that you have received the Mapbox Non-US Privacy Notice https://www.mapbox.com/legal/applicant-privacy-notice/ for applicants, which is linked here. Completing this application requires you to provide personal data, such as your name and contact information, which is mandatory for Mapbox to process your application. We are committed to a fair and equitable hiring process. We do not discriminate against any protected class. #LI-Remote

Location: Mapbox Helsinki Workplace: Remote Mapbox is the leading real-time location platform for a new generation of location-aware businesses. Mapbox is the only platform that equips organizations with the full set of tools to power the navigation of people, packages, and vehicles everywhere. More than 4 million registered developers have chosen Mapbox because of the platform’s flexibility, security and privacy compliance. Organizations use Mapbox applications, data, SDKs and APIs to create customized and immersive experiences that delight their customers.  The Maps API team builds and maintains the applications and infrastructure responsible for creating and distributing Mapbox maps https://www.mapbox.com/maps. Thousands of customers rely on our services to seamlessly handle billions of requests every day, scale in real-time to global events, and enable designers, developers, and analysts to make and share maps we’ve never dreamed of. Delivering maps means delivering a model of the world that’s changing all the time and needs to automatically support the world’s edge cases – writing systems, fonts, local regulations, and global boundary disputes. Our team maintains the highest-traffic read APIs at Mapbox and the distributed ETL pipelines used by internal and external customers to turn data into maps. We’re building new ways for people to visualize location data. Check out our Mapbox maps https://www.mapbox.com/maps! As AI becomes embedded in modern engineering workflows, we value engineers who can thoughtfully integrate AI into design, development, and decision-making. Our interview process will include discussion of how you use AI in your engineering workflow. WHAT YOU’LL DO As a Software Development Engineer III on the Maps API team, you will be responsible for balancing rapid development of new mapping tools against the reliability of our services as they scale into new request volumes, markets, and use cases. In a single week on the Maps API team, you might write application code robust to a world’s worth of data, build and deploy microservices, diagnose complex system behavior as global markets drive traffic in unexpected ways, or facilitate continuous delivery at Mapbox. In this role, you can expect to: - Lead your engineering team to identify and scope out well-defined tasks. - Execute on the scope and be accountable for delivering on time with quality. - Design systems and make architectural decisions that will keep pace with the rapid growth of Mapbox’s customer base. - Mentor your peers through 1:1s, facilitating design and code reviews, and providing continuous guidance to foster professional growth and technical excellence. - Promote a culture of operational excellence by meticulously testing and monitoring our systems and code, writing documentation, and being on-call to support the health of our services. - Reduce technical debt, share your knowledge, and invest in your teammates’ health and happiness, while optimizing application performance and accelerating feature velocity. - Uphold a culture of collaboration, transparency, creativity, inclusion, and data-driven decisions. WHAT WE BELIEVE ARE IMPORTANT TRAITS FOR THIS ROLE - 8-10+ years of experience building scalable high volume low latency backend services. - Proficiency with Python, NodeJS, and native AWS (CDK, ECS, Step Functions, Lambda, S3, RDS, CloudWatch, CloudFront). - Experience building mapping and geospatial related products. - Familiarity with code versioning tools, such as GitHub. - Able to perform independently all the development tasks, based on designs and specs. - Self-starter who is communication and outcomes-oriented. - An empirical analytical approach. You develop strong hypotheses, conduct spikes, and clearly communicate your findings. - A desire to share your expertise through documentation, mentorship, pairing, and both written and verbal discussion. - A desire to work with and lead individuals with diverse backgrounds, perspectives, and experiences. - High quality mindset -- write unit tests, proactively remedy defects and follow through to production. NICE TO HAVE TRAITS FOR THIS ROLE - Proficiency in C++ WHAT WE VALUE In addition to our core values https://www.mapbox.com/about/values/, which are not unique to this position and are necessary for Mapbox leaders: - We value high-performing creative individuals who dig into problems and opportunities. - We believe in individuals being their whole selves at work. We commit to this through supportive health care, parental leave, flexibility for the things that come up in life, and innovating on how we think about supporting our people. - We emphasize an environment of teaching and learning to equip employees with the tools needed to be successful in their function and the company. - We strongly believe in the value of growing a diverse team and encourage people of all backgrounds, genders, ethnicities, abilities, and sexual orientations to apply. HOW WE SUPPORT YOU - Hybrid/Remote Options: Enjoy flexibility to work comfortably from home or periodically from an office where applicable. - Country-Specific Care & Coverage: Private health, dental, and income protection plans tailored to elevate your regional statutory benefits. - Family-First Support: Family care, maternity and paternity leave policies to support your growing family. - Lifestyle Spending Account: Contributions to support your health, wellness, and personal growth - Balance & Brainpower: Mental health support for you and your dependents. - Rest & Recharge: Paid time away, company holidays, and generous absence policies. - Time Off to Give Back: Dedicated paid volunteering time in addition to your standard PTO. By applying for this position, you acknowledge that you have received the Mapbox Non-US Privacy Notice https://www.mapbox.com/legal/applicant-privacy-notice/ for applicants, which is linked here. Completing this application requires you to provide personal data, such as your name and contact information, which is mandatory for Mapbox to process your application. We are committed to a fair and equitable hiring process. We do not discriminate against any protected class. #LI-Remote

Общий опыт работы: От 6 лет в backend-разработке, включая коммерческую разработку высоконагруженных сервисов и интеграций между внутренними системами.

Location: São Paulo, Brazil; Buenos Aires, Argentina; Bogotá, Colombia New opportunities in Latin America! 🟢 Dev.Pro is a US-based software development company helping tech companies build their products and grow their business. We’re remote-first, and we work with independent contractors in over 55 countries, so you’d be collaborating in a multicultural environment on some really interesting projects. We invite a Senior Full-Stack Software Engineer to join our team and work on an orchestration platform for a leading global fintech company. The platform enables business partners to integrate once and offer a growing range of embedded financial products to their clients. In this role, you’ll develop and maintain React.js applications, embeddable widgets, and .NET services, contribute to AWS-based solutions, and support the delivery of secure, reliable, production-ready software. 🟩 What's in it for you: Help shape a growing platform that enables a wide range of embedded financial products Tackle complex engineering challenges across React.js, .NET, AWS, and partner integrations Influence technical decisions, guide the team, and stay hands-on with development ✅ Is that you? 10+ years of experience developing and supporting production software Strong C#/.NET Core skills, including REST APIs, dependency injection, async programming, testing, and secure coding Hands-on experience with React.js, JavaScript/TypeScript, component architecture, state management, HTML, and CSS Experience with PostgreSQL, MongoDB, or similar relational and document databases Experience with microservices, API-first development, third-party integrations, and resilient distributed systems Hands-on experience with AWS, Docker, and Kubernetes/EKS Ability to write automated unit and integration tests and troubleshoot UI, API, data, and cloud issues Experience with Git workflows and CI/CD tools such as GitHub Actions, Jenkins, or GitLab CI Ability to translate requirements into maintainable, well-documented solutions Experience providing technical leadership and guidance to engineering teams Valid U.S. visa and ability to travel to the U.S. for onboarding and knowledge transfer Desirable: Experience with embeddable widgets, micro-frontends, white-label apps, or multi-tenant SaaS Experience with AWS Lambda, Step Functions, ECS batch, S3, KMS, certificate or secret management Exposure to Python services, data pipelines, and unittest Experience with Terraform/Pulumi and GitOps tools (Argo CD) Experience with Splunk, Datadog, Grafana, CloudWatch, distributed tracing, and incident support Background in financial services, payments, embedded finance, lending, or banking 🧩Key responsibilities and your contribution In this role, you’ll combine hands-on engineering with technical leadership to deliver high-quality, reliable software solutions. Develop and maintain React.js applications, portals, and embeddable widgets Build secure REST APIs and microservices using C# and .NET Core Implement business workflows and integrations with finance providers, partners, enterprise APIs, webhooks, file exchanges, and AWS services Design and maintain PostgreSQL and MongoDB schemas, queries, migrations, and data-access patterns Contribute to AWS workloads using EKS, Lambda, containers, and Step Functions or equivalent orchestration Write unit, component, integration, contract, and end-to-end tests Build reusable UI components and improve accessibility, performance, and maintainability Guide engineers and contribute to API/event-contract design, code reviews, architecture discussions, and documentation Support infrastructure automation using CI/CD, Docker, Kubernetes, and infrastructure as code Implement logging, metrics, tracing, and alerts; troubleshoot issues across application layers Collaborate with QA and operations on testing, release readiness, and recovery procedures Our next steps: ✅ Submit a CV in English — ✅ Intro call with a Recruiter — ✅ Interview — ✅ Signing the Contract Interested? Find out more: 📋 How to Join Us 💻 LinkedIn Page 📈 Our website 💻 IG Page By submitting application, I've read and agree to the Dev.Pro Private Policy and Consent on Processing of Personal Data . I agree to have my Personal Data being stored and processed by Dev.Pro.

Location: Remote Workplace: Remote ABOUT BUFFER We create social media and brand-building software for small businesses, creators, and individuals. Our mission is to provide essential tools to help small businesses get off the ground and grow. Through exceptional customer service and uplifting content, we help our customers believe they can succeed and do good along the way. Buffer is a fully distributed team, and we’ve always aimed to do things a little differently. Since the early days, we’ve focused on building one of the most unique and fulfilling workplaces by rethinking a lot of traditional practices. We also default to transparency, so you can read all about our metrics, and our successes and failures along the way on our Transparency Dashboard https://buffer.com/open. We're united by Buffer's values https://buffer.com/about#values, and we hire and work from all over the world. We strive to create a diverse and inclusive work environment, and we are building a culture where underrepresented groups are welcome and can flourish. Please note that we do travel to work together in person once or twice per year, and those events are highly encouraged to build deeper connections among our small team. As you get to know Buffer and consider joining the journey, you can learn more about Buffer on our Journey https://buffer.com/journey page. Still curious to learn more about the experience on the Buffer team? Feel free to read more from Kirsti https://buffer.com/resources/first-30-days-buffer/ and Sabreen https://buffer.com/resources/joined-3-days-before-the-retreat/ as they share their first experiences with Buffer, as well as from Hailley https://buffer.com/resources/8-years-at-buffer/, who captured why she still calls Buffer home after 8+ years. While unusual at Buffer, we're looking for folks in a specific timezone range. This role is currently open to candidates based between UTC-3 and UTC+3. That gives you overlap with our current security engineer in Sri Lanka and most of our Engineering team, and lets the two of you share incident coverage so neither of you has to work through the night. ABOUT THE ROLE We're hiring a hands-on security engineer to be the tech lead for Buffer's Security team. You'll work alongside Adnan https://www.linkedin.com/in/adnanissadeen/, who has carried security at Buffer for years. Together, you’ll own security and compliance for a 15-year-old profitable company that is rebuilding itself around AI. Two things make this the right moment. Buffer’s product surface is growing: in May, we launched a public GraphQL API with an MCP server and CLI. More than 35,000 organizations have connected an AI tool to Buffer, and we are planning to build a plugin ecosystem on top. Internally, we're becoming an AI-native organization: MCPs on our Claude Team plan, custom connectors, internal tools, and Roo, our own internal agent. We're small and lean, with few processes, and we run on trust around access and permissions. We don't want to lose that, but the surface now grows faster than one person can cover. That means the usual security playbook won't work here. We don't buy enterprise plans for every tool, and we don't make people justify every access request. You’ll make the secure path the easy path to follow. Your role will be to set the direction for security at Buffer and to do much of the work yourself. You'll decide which open security problems to address first, write code to fix some of them, and lead incidents when they happen. We're looking for an enabler and a team player, not a gatekeeper. This is a generalist role by design. WHO YOU’LL WORK WITH You’ll report to Miguel, https://www.linkedin.com/in/migueldavid/ Engineering Manager for the Infrastructure and Security teams. Day-to-day, the Security team is you, Adnan, and Miguel. Adnan knows how everything at Buffer fits together and where the sharp edges are. Together, you’ll own planned security work as well as the work that keeps the lights on: the security inbox, requests from other teams, maintenance, and chores. You’ll lead the team’s direction and standards. You will also work closely with product engineering teams to ensure that what we build meets a strong security bar. That means collaborating on tech spec reviews and growing the group of security champions across the teams. Your peers from our Advocacy (customer support) and People teams will rely on you to support them with security and compliance needs that come up in their work, from customer security questions to vendor reviews and policy. WHAT YOU’LL BE WORKING ON - 🧭 Lead security at Buffer. Define the strategy and roadmap, set priorities, drive execution, and change how we work where it matters. If you see a problem outside your lane, say so and drive the fix. - 🧰 Build. Identify the problem, define the solution, then build it with Adnan: tooling, automation, processes. - 🔁 Put security in the development loop. Check on every PR, threat modeling in tech specs, dependency, secrets, and supply chain hygiene, and review steps that hold up as more of our code is written with AI agents. - 🔐 Advance operational security. Secure our day-to-day operations to meet industry-wide standards while maintaining the flexibility afforded by Buffer’s high-trust environment. - 💡 Keep the lights on. Security inbox, requests from other teams, maintenance and chores, shared with Adnan. Much of this is manual today, and we’d love you to automate what you can. - 🚨 Lead incidents and take part in our engineering-wide on-call rotation. Set the standard for how we run a security incident, then hold the team to it. Run tabletops with the rest of Engineering, and ensure the gaps are fixed. - 🤖 Secure the AI surface. Threat-model what we’re building, from agents with tool access to connectors and in-product AI, and set guardrails so Buffer can move fast on AI without guessing. - 🐛 Run vulnerability disclosure. Triage reports from outside researchers, fix or route the real ones, and decide how the program grows. - 🤝 Own compliance and customer trust. SOC 2 and Meta platform compliance are the big ones today. We want them to make Buffer safer, not only to pass audits, but also to automate evidence where you can. Security questionnaires reach us through Advocacy. Help answer them, and build what lets customers find answers on their own (a Trust Center, for example). HELPFUL SKILLS AND EXPERIENCE - You’ve been the senior security person somewhere without a CISO above you. You know what it means to set direction without a mandate and earn it through work. - You have hands-on application and API security depth in a multi-tenant SaaS, ideally one with a public API: authorization models, OAuth and OIDC, session and auth flows, IDOR and SSRF, and threat modeling. You've found these bugs and fixed them, not only reported them. - You write code. You can read and change a TypeScript codebase well enough to ship a fix and review someone else’s (legacy PHP and Python show up more rarely, too). - You’ve led security incidents end-to-end, including the writing of status updates, customer comms, and postmortems that people act on. - You’ve worked with AWS, Kubernetes, and Cloudflare, or similar, enough to reason about infrastructure risk with an infrastructure team. You don’t need to run it. - You’ve run a SOC 2 or similar program, or worked closely with one, and you’d rather automate evidence collection than do it by hand. - You've run or triaged a vulnerability disclosure or bug bounty program, and you can tell a real report from noise quickly. - You have strong opinions, and you can hold them loosely. You are comfortable disagreeing with a senior engineer’s design, and working together to find the best solution (sometimes changing your mind when their argument is better). - You’re fluent with modern AI tools, and you use them to multiply your output and your team’s. You’ve thought hard about securing systems that use them. - You thrive in remote, async environments, and you follow through. You're clear in your thinking and generous with context, and you close the loop on what you commit to. Most of your influence here will be written. - Bonus points if you’re already a Buffer user or familiar with social media management tools. OUR TECH STACK - Product. Node.js (TypeScript) across most services in a monorepo, backed by MongoDB; a REST API and PHP being retired for legacy services. iOS and Android apps. A public GraphQL API, MCP server, CLI, and connectors. - Infrastructure. AWS (EKS, IAM, SQS, S3, CloudFront), Terraform, ArgoCD, GitHub Actions, Cloudflare (WAF, Zero Trust, Workers, DNS). - Security and compliance. Vanta for SOC 2, Dependabot, gitleaks, AWS GuardDuty, Cloudflare WAF and Zero Trust, Action1 for device management, 1Password, and Google Workspace as the identity layer. - Observability and incidents. Datadog, Sentry, incident.io http://incident.io, and PagerDuty. - AI. Claude Team across the company, internal agents and MCP servers built in-house, in-product AI features. APPLY FOR THE JOB Do you believe you're a fit for this role and want to join the Buffer team? We'd love to hear about you! Here's what our hiring process looks like: 1. Application. A short form with your CV, LinkedIn, a few yes/no questions, and an example of your writing. 2. Questionnaire. If there’s a match, we’ll email you a short set of questions to learn a bit more about you! 3. Interview process: Meet with several teammates across a few Zoom calls, starting with Miguel https://www.linkedin.com/in/migueldavid/, Engineering Manager for Infrastructure and Security, and the hiring manager for this role, and then a handful of other Buffer teammates and peers. 4. Take-home exercise. During our interview process, we'll ask you to do an asynchronous task so we can see your work in practice and discuss it live. 5. Meet the CEO. Get to know Joel https://www.linkedin.com/in/joelgascoigne/, our Founder CEO. 6. Collaboration period. Two paid days working with the team on a real project, so that we can each see what it's like to work together. PRIVACY POLICY By submitting the application, you consent to Buffer collecting and processing your personal data for recruiting purposes. Find more details in our Privacy Policy https://buffer.notion.site/Privacy-Policy-for-Applicants-230a7f5a00fd80e48478f09171d18a24?pvs=143.

Тәжірибе: Senior / Team Lead ретінде 3+ жыл (Java 17+ / Spring Boot / Микросервистер). Тәжірибе: Java тілінде 4+ жыл коммерциялық тәжірибе.

-Разрабатывать backend-сервисы преимущественно на Go. -Реализовать API для запуска, управления и мониторинга вычислительных задач.

Location: Germany; Portugal; France; Spain; Italy; The Netherlands Workplace: Hybrid WHY CLOUD INFRASTRUCTURE AT LANGFUSE Your work will keep Langfuse running — everywhere. Langfuse processes over a billion trace events per month. When a Fortune 50 company relies on Langfuse in production, they're relying on the infrastructure you operate. You'll own uptime, performance, and cost efficiency across our entire cloud footprint — and you'll make sure every self-hosted deployment runs just as smoothly. You'll operate Langfuse Cloud on AWS ECS Fargate and ClickHouse Cloud, with Datadog as the observability backbone. You'll also own our public self-hosted infrastructure — including our Helm chart, Docker Compose setup, and everything in between — so that teams from startups to enterprises can run Langfuse on their own terms. This isn't a "maintain what exists" role. We're scaling fast, and you'll be the person who makes sure the infrastructure grows ahead of demand — not behind it. Langfuse is now part of ClickHouse, which means the team behind the database at the core of our stack is one channel away. Few infrastructure roles give you that kind of direct access to the people who build your most critical dependency.   YOU WILL GROW AT LANGFUSE BY Own Langfuse Cloud operations: You'll run our production environments on AWS ECS Fargate and ClickHouse Cloud. You'll manage deployments, autoscaling, capacity planning, and cost optimization — making sure we stay fast and affordable as traffic scales. Build world-class observability: You'll own our Datadog setup end to end — dashboards, alerts, and SLOs. When something degrades, you'll ensure we know before our customers do. You'll build the monitoring culture that lets the whole team ship with confidence. Make self-hosting effortless: Thousands of teams run Langfuse on their own infrastructure. You'll own and evolve our Helm chart, Docker Compose configuration, and deployment documentation. You'll turn "works on my machine" into "works on every machine" — from a single-node setup to a multi-region enterprise deployment. Automate everything: CI/CD pipelines, infrastructure-as-code, automated scaling, zero-downtime deployments. You'll replace manual processes with automation that makes the team faster and the platform more reliable. Scale for what's next: We're growing fast and new product directions — like complex long-running agent observability and real-time evaluation — push the infrastructure in new ways. You'll be thinking ahead about what breaks at 10x scale and building the foundation before we get there. 10x is always just one quarter away here at Langfuse. Harden security and compliance: As more enterprises adopt Langfuse, you'll help ensure our cloud and self-hosted deployments meet the security and compliance bar that large organizations require.   WHAT WE'RE LOOKING FOR - Strong infrastructure or SRE engineer who gets excited about running systems at scale and making them better every day - Experience operating production workloads on AWS (ECS/Fargate, networking, IAM, S3, etc.) or on comparable hyperscale vendors. - Comfortable with container orchestration — Kubernetes and/or ECS, Helm charts, Docker - Experience with infrastructure-as-code (Terraform, Pulumi, CloudFormation, or similar) - Strong monitoring and observability instincts — you've built dashboards and alerts that actually caught problems (Datadog experience is a plus) - You organize yourself. You have strong opinions about reliability, automation, and how to ship infrastructure changes safely - Interest in open source software and genuine enjoyment helping users debug their self-hosted deployments - Thrives in a small, accountable team where your output is visible and matters - CS or quantitative degree preferred Bonus points: - Experience with ClickHouse Cloud or other managed analytical databases - Background in operating high-throughput event processing or observability infrastructure - Contributions to open source infrastructure tooling (Helm charts, Terraform modules, etc.) - Former founder PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new eligible team member who joins our company receives equity. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.

В роли предстоит развивать DWH и ML-платформу, строить пайплайны от сбора данных до деплоя моделей, настраивать мониторинг и CI/CD. Сейчас усиливаем Data/ML-направление и ищем Senior MLOps / DataOps инженера, который поможет выстроить стабильную и масштабируемую инфраструктуру для работы с данными и моделями.

Location: Lisbon, Portugal Workplace: Remote Sensor Tower’s digital intelligence platform provides unparalleled insight into market trends, advertising, competitor’s strategies, and consumer/user audience across mobile, web, and gaming. Sensor Tower’s insights are trusted by more than 2,500 enterprises worldwide across tech, retail/commerce, entertainment/media, gaming, consumer packaged goods and finance. Our mobile gaming portfolio includes AppMagic and Playliner, which help game developers and publishers understand the mobile games market and how top games run their LiveOps. We’re looking for an AI Engineer to build LLM-powered prototypes for our gaming analytics products. You’ll turn product ideas into working prototypes on real data, find out quickly which ones are worth building, and then take the successful ones all the way to production together with our engineering teams. What you’ll do - Build AI prototypes for game analytics, with a focus on multimodal data: screenshots, images and gameplay video. For example, recognizing LiveOps events from in-game screenshots or extracting what changed in a game update. - Choose and use the right models for each task (mainly Claude), balancing quality, speed and cost. - Build data pipelines with our Data Engineer to run models on large volumes of game data. - Measure quality so we know what works and what doesn’t. - Build retrieval and multi-step pipelines. - Turn the best prototypes into real product features together with our engineers. Our tech stack Python, FastAPI, LangGraph, OpenCV, PostgreSQL, S3, Kubernetes, TypeScript, React What we’re looking for - Strong Python (TypeScript is a plus). - Experience with multimodal models: screenshots, images or video. - Hands-on experience building products on top of LLM APIs, not just chatbots. - Understanding of RAG and vector search, and when they’re not needed. - You measure results and can show how well your solution works. - You can work independently and explain your decisions clearly. - Ability to pass technical interview both in Russian & English. What we’d be particularly excited about - Interest in or experience with mobile games, LiveOps or market analytics. - Hands on experience in building AI projects - Experience with LangGraph, LlamaIndex or similar frameworks, and an opinion on when they’re worth using. Fraud warning: It's common for scammers to create positions that look legitimate on other sites. To ensure your submission is considered, only apply for positions at Sensor Tower through our company website or through posts directly associated with Sensor Tower company profiles on sites such as LinkedIn, Indeed, BuiltIn or Hackajob. At no point will Sensor Tower ever ask for money, credit card, or bank account information to complete a job application. Communications received from Sensor Tower are only sent by e-mail addresses ending in sensortower.com http://sensortower.com. All Sensor Tower interviews will be conducted via phone or Zoom. At no time will a conversation be moved to an alternative email outside of sensortower.com http://sensortower.com or text. Should an issue arise that you feel we should be aware of, please contact us. Please provide your resume when applying. To all recruitment agencies: Sensor Tower does not accept third party resumes. Please do not send resumes to our jobs alias, Sensor Tower employees or any other organization location. Sensor Tower is not responsible for any fees related to unsolicited resumes. Sensor Tower will not pay any third-party agency or company that does not have a signed agreement with Sensor Tower. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Location: Belgrade, Serbia Workplace: Remote Sensor Tower’s digital intelligence platform provides unparalleled insight into market trends, advertising, competitor’s strategies, and consumer/user audience across mobile, web, and gaming. Sensor Tower’s insights are trusted by more than 2,500 enterprises worldwide across tech, retail/commerce, entertainment/media, gaming, consumer packaged goods and finance. Our mobile gaming portfolio includes AppMagic and Playliner, which help game developers and publishers understand the mobile games market and how top games run their LiveOps. We’re looking for an AI Engineer to build LLM-powered prototypes for our gaming analytics products. You’ll turn product ideas into working prototypes on real data, find out quickly which ones are worth building, and then take the successful ones all the way to production together with our engineering teams. What you’ll do - Build AI prototypes for game analytics, with a focus on multimodal data: screenshots, images and gameplay video. For example, recognizing LiveOps events from in-game screenshots or extracting what changed in a game update. - Choose and use the right models for each task (mainly Claude), balancing quality, speed and cost. - Build data pipelines with our Data Engineer to run models on large volumes of game data. - Measure quality so we know what works and what doesn’t. - Build retrieval and multi-step pipelines. - Turn the best prototypes into real product features together with our engineers. Our tech stack Python, FastAPI, LangGraph, OpenCV, PostgreSQL, S3, Kubernetes, TypeScript, React What we’re looking for - Strong Python (TypeScript is a plus). - Experience with multimodal models: screenshots, images or video. - Hands-on experience building products on top of LLM APIs, not just chatbots. - Understanding of RAG and vector search, and when they’re not needed. - You measure results and can show how well your solution works. - You can work independently and explain your decisions clearly. - Ability to pass technical interview both in Russian & English. What we’d be particularly excited about - Interest in or experience with mobile games, LiveOps or market analytics. - Hands on experience in building AI projects - Experience with LangGraph, LlamaIndex or similar frameworks, and an opinion on when they’re worth using. Fraud warning: It's common for scammers to create positions that look legitimate on other sites. To ensure your submission is considered, only apply for positions at Sensor Tower through our company website or through posts directly associated with Sensor Tower company profiles on sites such as LinkedIn, Indeed, BuiltIn or Hackajob. At no point will Sensor Tower ever ask for money, credit card, or bank account information to complete a job application. Communications received from Sensor Tower are only sent by e-mail addresses ending in sensortower.com http://sensortower.com. All Sensor Tower interviews will be conducted via phone or Zoom. At no time will a conversation be moved to an alternative email outside of sensortower.com http://sensortower.com or text. Should an issue arise that you feel we should be aware of, please contact us. Please provide your resume when applying. To all recruitment agencies: Sensor Tower does not accept third party resumes. Please do not send resumes to our jobs alias, Sensor Tower employees or any other organization location. Sensor Tower is not responsible for any fees related to unsolicited resumes. Sensor Tower will not pay any third-party agency or company that does not have a signed agreement with Sensor Tower. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Location: Yerevan, Armenia Workplace: Remote Sensor Tower’s digital intelligence platform provides unparalleled insight into market trends, advertising, competitor’s strategies, and consumer/user audience across mobile, web, and gaming. Sensor Tower’s insights are trusted by more than 2,500 enterprises worldwide across tech, retail/commerce, entertainment/media, gaming, consumer packaged goods and finance. Our mobile gaming portfolio includes AppMagic and Playliner, which help game developers and publishers understand the mobile games market and how top games run their LiveOps. We’re looking for an AI Engineer to build LLM-powered prototypes for our gaming analytics products. You’ll turn product ideas into working prototypes on real data, find out quickly which ones are worth building, and then take the successful ones all the way to production together with our engineering teams. What you’ll do - Build AI prototypes for game analytics, with a focus on multimodal data: screenshots, images and gameplay video. For example, recognizing LiveOps events from in-game screenshots or extracting what changed in a game update. - Choose and use the right models for each task (mainly Claude), balancing quality, speed and cost. - Build data pipelines with our Data Engineer to run models on large volumes of game data. - Measure quality so we know what works and what doesn’t. - Build retrieval and multi-step pipelines. - Turn the best prototypes into real product features together with our engineers. Our tech stack Python, FastAPI, LangGraph, OpenCV, PostgreSQL, S3, Kubernetes, TypeScript, React What we’re looking for - Strong Python (TypeScript is a plus). - Experience with multimodal models: screenshots, images or video. - Hands-on experience building products on top of LLM APIs, not just chatbots. - Understanding of RAG and vector search, and when they’re not needed. - You measure results and can show how well your solution works. - You can work independently and explain your decisions clearly. - Ability to pass technical interview both in Russian & English. What we’d be particularly excited about - Interest in or experience with mobile games, LiveOps or market analytics. - Hands on experience in building AI projects - Experience with LangGraph, LlamaIndex or similar frameworks, and an opinion on when they’re worth using. Fraud warning: It's common for scammers to create positions that look legitimate on other sites. To ensure your submission is considered, only apply for positions at Sensor Tower through our company website or through posts directly associated with Sensor Tower company profiles on sites such as LinkedIn, Indeed, BuiltIn or Hackajob. At no point will Sensor Tower ever ask for money, credit card, or bank account information to complete a job application. Communications received from Sensor Tower are only sent by e-mail addresses ending in sensortower.com http://sensortower.com. All Sensor Tower interviews will be conducted via phone or Zoom. At no time will a conversation be moved to an alternative email outside of sensortower.com http://sensortower.com or text. Should an issue arise that you feel we should be aware of, please contact us. Please provide your resume when applying. To all recruitment agencies: Sensor Tower does not accept third party resumes. Please do not send resumes to our jobs alias, Sensor Tower employees or any other organization location. Sensor Tower is not responsible for any fees related to unsolicited resumes. Sensor Tower will not pay any third-party agency or company that does not have a signed agreement with Sensor Tower. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Location: Tbilisi, Georgia Workplace: Remote Sensor Tower’s digital intelligence platform provides unparalleled insight into market trends, advertising, competitor’s strategies, and consumer/user audience across mobile, web, and gaming. Sensor Tower’s insights are trusted by more than 2,500 enterprises worldwide across tech, retail/commerce, entertainment/media, gaming, consumer packaged goods and finance. Our mobile gaming portfolio includes AppMagic and Playliner, which help game developers and publishers understand the mobile games market and how top games run their LiveOps. We’re looking for an AI Engineer to build LLM-powered prototypes for our gaming analytics products. You’ll turn product ideas into working prototypes on real data, find out quickly which ones are worth building, and then take the successful ones all the way to production together with our engineering teams. What you’ll do - Build AI prototypes for game analytics, with a focus on multimodal data: screenshots, images and gameplay video. For example, recognizing LiveOps events from in-game screenshots or extracting what changed in a game update. - Choose and use the right models for each task (mainly Claude), balancing quality, speed and cost. - Build data pipelines with our Data Engineer to run models on large volumes of game data. - Measure quality so we know what works and what doesn’t. - Build retrieval and multi-step pipelines. - Turn the best prototypes into real product features together with our engineers. Our tech stack Python, FastAPI, LangGraph, OpenCV, PostgreSQL, S3, Kubernetes, TypeScript, React What we’re looking for - Strong Python (TypeScript is a plus). - Experience with multimodal models: screenshots, images or video. - Hands-on experience building products on top of LLM APIs, not just chatbots. - Understanding of RAG and vector search, and when they’re not needed. - You measure results and can show how well your solution works. - You can work independently and explain your decisions clearly. - Ability to pass technical interview both in Russian & English. What we’d be particularly excited about - Interest in or experience with mobile games, LiveOps or market analytics. - Hands on experience in building AI projects - Experience with LangGraph, LlamaIndex or similar frameworks, and an opinion on when they’re worth using. Fraud warning: It's common for scammers to create positions that look legitimate on other sites. To ensure your submission is considered, only apply for positions at Sensor Tower through our company website or through posts directly associated with Sensor Tower company profiles on sites such as LinkedIn, Indeed, BuiltIn or Hackajob. At no point will Sensor Tower ever ask for money, credit card, or bank account information to complete a job application. Communications received from Sensor Tower are only sent by e-mail addresses ending in sensortower.com http://sensortower.com. All Sensor Tower interviews will be conducted via phone or Zoom. At no time will a conversation be moved to an alternative email outside of sensortower.com http://sensortower.com or text. Should an issue arise that you feel we should be aware of, please contact us. Please provide your resume when applying. To all recruitment agencies: Sensor Tower does not accept third party resumes. Please do not send resumes to our jobs alias, Sensor Tower employees or any other organization location. Sensor Tower is not responsible for any fees related to unsolicited resumes. Sensor Tower will not pay any third-party agency or company that does not have a signed agreement with Sensor Tower. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

-Разработка и развитие модулей налогов, ЭДО и личного кабинета. -Разработка пользовательских интерфейсов на Vue 3 и TypeScript.

Location: São Paulo, Brazil; Buenos Aires, Argentina; Bogotá, Colombia New opportunities in Latin America! 🟢 Dev.Pro is a US-based software development company helping tech companies build their products and grow their business. We’re remote-first, and we work with independent contractors in over 55 countries, so you’d be collaborating in a multicultural environment on some really interesting projects. We invite a Solutions Architect to join our team and work on an orchestration platform for a leading global fintech company. The platform enables business partners to integrate once and offer a growing range of embedded financial products to their clients. In this role, you’ll own the end-to-end architecture across AWS infrastructure, .NET services, data flows, and partner integrations, collaborating closely with engineering teams and stakeholders to deliver secure, scalable, and reliable solutions. 🟩 What's in it for you: Own the end-to-end architecture of a growing embedded finance platform Shape reusable architecture patterns that support new products and provider integrations Drive key architectural decisions across teams, working closely with engineering and technical leadership ✅ Is that you? 10+ years in software engineering, including 5+ years as a Solutions Architect Strong hands-on experience with C#, ASP.NET, and .NET Core Strong hands-on AWS architecture experience delivering secure, production-grade distributed systems Solid experience with microservices, REST APIs, asynchronous/ event-driven patterns, and enterprise integrations Working knowledge of React-based architecture, micro-frontends or embeddable components, and browser security Experience with PostgreSQL and NoSQL databases (MongoDB), including data modeling, performance, and migrations Hands-on experience with Docker, Kubernetes/EKS, IaC, CI/CD, and automated release controls Ability to define non-functional requirements for availability, scalability, performance, recoverability, security, privacy, and supportability Strong communication skills and ability to explain technical decisions and influence cross-functional teams and external partners Valid U.S. visa and ability to travel to the U.S. for onboarding and knowledge transfer Desirable: AWS Certified Solutions Architect (Associate or Professional) Background in payments, financial services, embedded finance, lending, BaaS, or regulated platforms Experience with Akamai, AWS KMS/ACM, Argo CD, Snowflake, SFTP/file integrations, and enterprise identity/SSO Experience with pluggable provider architectures, white-label portals, embeddable widgets, or multi-tenant platforms Familiarity with architecture governance, threat modeling, PCI-related controls, privacy requirements, and audit evidence 🧩Key responsibilities and your contribution In this role, you’ll provide architectural leadership throughout the development lifecycle, ensuring technical solutions meet business needs and quality standards. Own solution architecture from discovery through production, including technical designs, transition plans, and engineering guidance Design architectures across React portals, embeddable widgets, .NET microservices, APIs, Python data pipelines, and databases Design AWS solutions using EKS, Lambda, ECS, S3, and Step Functions Maintain architecture decision records, context and sequence diagrams, API and event contracts, non-functional requirements, and deployment views Guide secure integrations with embedded finance providers, partners, identity services, enterprise APIs, file-based exchanges, webhooks, and downstream billing or settlement capabilities Define patterns for service boundaries, API-first design, event-driven processing, idempotency, resiliency, error handling, auditability, and modular provider onboarding Identify technical risks and cross-team dependencies, and develop mitigation plans Partner with platform engineering teams on Terraform/Pulumi, Kubernetes, CI/CD, environment strategy, secrets management, and release controls Drive secure design using IAM, encryption, key/secret and TLS/certificate management, network segmentation, least privilege, and secure development practices Define observability standards; lead performance, resilience, and production readiness reviews Coach engineers, resolve cross-team decisions, and communicate technical trade-offs to stakeholders Our next steps: ✅ Submit a CV in English — ✅ Intro call with a Recruiter — ✅ Interview — ✅ Signing the Contract Interested? Find out more: 📋 How to Join Us 💻 LinkedIn Page 📈 Our website 💻 IG Page By submitting application, I've read and agree to the Dev.Pro Private Policy and Consent on Processing of Personal Data . I agree to have my Personal Data being stored and processed by Dev.Pro.

Задачи: — Повышать эффективность пайплайнов для расчёта daily‑признаков на базе batch‑процессинга. — Создавать пайплайн для realtime‑признаков на основе Kafka‑топиков. — Проектировать и разрабатывать сервисы для обработки миллиардов пользовательских событий. — Решать инженерные задачи по расчёту метрик и построению витрин. — Работать с потоками данных и интеграциями между CDP и другими системами 2ГИС. — Участвовать в формировании архитектурных решений. — Взаимодействовать с аналитиками, продактами и инженерами. Требования: — Опыт работы с highload‑системами. — Опыт проектирования архитектуры данных или платформенного кода. — Опыт работы с Kafka, ClickHouse либо аналогичными системами потоковой и аналитической обработки данных. — Уверенное понимание и умение применять Spark. — Владение одним из языков программирования (например, Python или Scala). — Самостоятельность и проактивность в поиске решений. — Ориентация на создание продукта с учётом бизнес‑логики. — Плюсом будет опыт работы с Airflow. — Навыки анализа данных на SQL. — Знание инструментов контроля качества данных (Data Quality, Data Contracts). — Опыт построения Data Lineage и работы с Data Catalog. — Понимание подходов к персонализации, сегментации или real‑time‑аналитике. — Понимание работы S3‑хранилища.